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Leopold Aschenbrenner - China/US Super Intelligence Race, 2027 AGI, & The Return of History
Dwarkesh Podcast
Advantages of Pre-Training in Model Building
Pre-training models through free training enables the learning of rich representations that are essential in deep learning. Models developed through pre-training possess the capability to generalize effectively due to their ability to learn appropriate representations. The progression from GPT-2 to GPT-4 involved refining raw capabilities into a highly efficient chatbot through 'Arlie chuffing.' This process resulted in significant model improvements and performance enhancements according to human preference ratings. The advantage of pre-training in model development is highlighted by the comparison to the field of robotics, where the lack of pre-training capabilities poses a significant challenge, necessitating a focus on RL self-playing from the onset.
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